Prateek Sharma UnitedWithCode

Developing a GAS Powered Google Workspace Add-on And Launching It To The Marketplace

This guide will walk you through creating a public Google Workspace Add-on, and launching it in the Google Workspace Marketplace for as free as possible.

This guide was written as I developed and launched my first add-on: Nacho Auto Vacation for Gmail™.

Linux Server Setup & MERN App Deployment

These are the steps to setup an Ubuntu server from scratch and deploy a MERN app with the PM2 process manager and Nginx. We are using Linode, but you could just as well use a different cloud provider or your own machine or VM.

Create an account at Linode

Click on Create Linode

Choose your server options (OS, region, etc)

SSH Keys

Copy ChatGPT Transcript as markdown

javascript:void (async () => { let { default: TD } = await import("https://cdn.skypack.dev/turndown");  let json = [   ...document.querySelectorAll(".text-base"), ].map((i) => ({   html: i.innerHTML,   text: i.innerText,   markdown: new TD().turndown(i),   isPrompt: !i.querySelector(".prose"), }));  window.open(   URL.createObjectURL(     new Blob(       [         json           .map((i) =>             i.isPrompt ? `**Prompt**: ${i.text}` : `**ChatGPT**: ${i.markdown}`           )           .join("\n\n"),       ],       { type: "text/plain" }     )   ) ); })()

Google answer

Get a quick answer from google for any question

(async function answer(q) {
  var html = await fetch(
    `https://cors.explosionscratc.repl.co/google.com/search?q=${encodeURI(q)}`,

	import argparse
	import random
	import sys

	from transformers import AutoModelForCausalLM, AutoTokenizer, DynamicCache
	import torch

	parser = argparse.ArgumentParser()
	parser.add_argument("question", type=str)
	parser.add_argument(

	You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

	## Core Principles

	1. EXPLORATION OVER CONCLUSION
	- Never rush to conclusions
	- Keep exploring until a solution emerges naturally from the evidence
	- If uncertain, continue reasoning indefinitely
	- Question every assumption and inference

	import openai
	import streamlit as st
	from streamlit_chat import message
	from dotenv import load_dotenv
	import os
	from langchain.embeddings.openai import OpenAIEmbeddings
	from langchain.vectorstores import Chroma
	import openai
	from langchain.document_loaders import UnstructuredMarkdownLoader
	from langchain.chains.question_answering import load_qa_chain

	{
	"Pinia Store Boilerplate": {
	"prefix": "pinia",
	"body": [
	"import { defineStore, acceptHMRUpdate } from \"pinia\";",
	"",
	"export const use$TM_FILENAME_BASE = defineStore(\"$TM_FILENAME_BASE\", {",
	" state: () => {",
	" return {",
	" $0",

	/* Using a JavaScript proxy for a super low code REST client */
	// via https://dev.to/dipsaus9/javascript-lets-create-aproxy-19hg
	// also see https://towardsdatascience.com/why-to-use-javascript-proxy-5cdc69d943e3
	// also see https://github.com/fastify/manifetch
	// also see https://github.com/flash-oss/allserver
	// and https://gist.github.com/v1vendi/75d5e5dad7a2d1ef3fcb48234e4528cb

	const createApi = (url) => {
	return new Proxy({}, {
	get(target, key) {